About

Sheetal Mahesh is an experienced AI/ML Scientist at General Motors, with a strong academic background in Data Science from the University of Southern California. She has a solid understanding of statistical modeling and machine learning techniques such as Linear Regression, Logistic Regression, Decision Trees, Time Series, and Ensemble Methods. She is proficient in programming languages such as Python, R, MySQL, PHP, Java, and JavaScript. Sheetal's passion for growth as a Data Scientist is evident in her eagerness to acquire new skills and her ability to quickly pick up new technologies. She has gained experience in various industries such as Health Care, Life Sciences, Apparel, and Property and Casualty Insurance Fraud. She has worked on projects ranging from analyzing data to predict sticky changes of car pricing to predicting losses due to fraud from insurance claims. She has experience in fraud analytics, software testing analytics, and social data mining, among others. She has used various techniques such as sentiment analysis, SVM, neural networks, and random forest to predict fraud cases and software test case outcomes. Sheetal has a Master's degree in Data Science from the University of Southern California and a Bachelor's degree in Computer Science from R.V. College of Engineering, Bangalore. She also has a background in Science from Christ University, Bangalore, where she completed her XI-XIIth studies, and completed her ICSE from Sishu Griha High School. Sheetal's tech stack includes AI, Research Scientist, ML, Data Scientist, test, Python, Javascript, PHP, MySQL, Java, Sentiment Analysis, SVM, Random Forest, Neo4j, and Neural Networks. With 7.61 years of relevant experience, Sheetal is a skilled and dedicated professional who is always looking to expand her knowledge and skills in the field of Data Science.